The impact of artificial intelligence on ESG indicators in moroccan companies: a systematic literature review

This article investigates the impact of artificial intelligence (AI) on environmental, social, and governance (ESG) indicators in Moroccan companies through a systematic literature review. The study systematically selected and analyzed peer-reviewed academic sources, institutional reports, and regulatory documents published between 201 and 2024 from databases including Scopus, Web of Science, Springer, and Emerald. The findings highlight how AI can enhance ESG performance through resource optimization, improved transparency, and inclusive service delivery. However, the review also identifies key challenges such as limited AI adoption in SMEs, ethical concerns, and regulatory gaps. This study contributes to the growing body of literature by offering evidence-based insights into the opportunities and risks associated with integrating AI in sustainable business strategies in Morocco.

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Publication Details

Journal
OPUS-Publikationsserver der Hochschule Hof
Published
2025-11-03
DOI
https://doi.org/10.57944/1051-254
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of artificial intelligence on ESG indicators in moroccan companies: a systematic literature review

Laila Amzil, Youness Boumazzourh
OPUS-Publikationsserver der Hochschule Hof
Ethics and Social Impacts of AI
article

The impact of artificial intelligence on ESG indicators in moroccan companies: a systematic literature review

Laila Amzil, Youness Boumazzourh
article en

Abstract

This article investigates the impact of artificial intelligence (AI) on environmental, social, and governance (ESG) indicators in Moroccan companies through a systematic literature review. The study systematically selected and analyzed peer-reviewed academic sources, institutional reports, and regulatory documents published between 201 and 2024 from databases including Scopus, Web of Science, Springer, and Emerald. The findings highlight how AI can enhance ESG performance through resource optimization, improved transparency, and inclusive service delivery. However, the review also identifies key challenges such as limited AI adoption in SMEs, ethical concerns, and regulatory gaps. This study contributes to the growing body of literature by offering evidence-based insights into the opportunities and risks associated with integrating AI in sustainable business strategies in Morocco.

OPUS-Publikationsserver der Hochschule Hof
Openalex Percentile: Top 19%
Ethics and Social Impacts of AI
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